Nowadays, heart illness is highly common if there is substantial damage to the heart's tissue. With early monitoring, appropriate care, and dietary alterations, many potential hamstring difficulties can be minimiz...
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Nowadays, heart illness is highly common if there is substantial damage to the heart's tissue. With early monitoring, appropriate care, and dietary alterations, many potential hamstring difficulties can be minimized or avoided following a heart attack and other injuries. This paper uses various techniques to assess the possibility of getting a heart attack, such as different supervised machinelearning algorithms like logistic regression, naive Bayes, extreme gradient boost (XGB classifier), etc. In order to identify the ideal procedure, this work also offers confusion matrices, feature visualization, and the receiver operating characteristics curve (ROC). In this case, a random forest classifier might be the best choice because of its 98.53% accuracy.
The rapid growth in social media as the first point of reference for the latest news and information has made the proliferation of fake news on social media platforms a persistent issue that has significant consequenc...
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The proceedings contain 77 papers. The topics discussed include: adaptive differentially private robust federated learning against backdoor attacks;research on public opinion of product quality and safety information ...
ISBN:
(纸本)9781643685779
The proceedings contain 77 papers. The topics discussed include: adaptive differentially private robust federated learning against backdoor attacks;research on public opinion of product quality and safety information based on crawler retrieval technology;research on entity recognition method for quality standards of concrete prefabricated components;a twin visualization driving method of elevator based on inspection data;simulation and experimentation on waste heat utilization of Stirling engine;helmet detection algorithm based on lightweight model and attention mechanism;optimization design of bionic cutters for rotary tillers based on digital twins;and research on the application of intelligent education in practical teaching for mechanical and electrical engineering undergraduates.
This study investigates the integration of Geographic Information System (GIS) technology with intelligent Traffic Management Systems (ITMS) for accident prevention and management, addressing the limitations of tradit...
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The proceedings contain 18 papers. The topics discussed include: research on RedCap UE’s performance indicators in real network to support IoT applications;machinelearning-based crop recommendation for IoT-enabled s...
ISBN:
(纸本)9798400717161
The proceedings contain 18 papers. The topics discussed include: research on RedCap UE’s performance indicators in real network to support IoT applications;machinelearning-based crop recommendation for IoT-enabled smart agriculture;cloud provisioning: a highly optimized, cost-effective, and efficient deployment model;smart pill box: an IoT-integrated application for monitoring patient medication usage at home;analyzing cybersecurity risk with a phishing simulation website;agile infrastructure: adapting systems to changing business requirements;a secure and efficient privacy scheme for location-based services in cloud environments;and research on garbled circuits-based identity authentication and ciphertext hidden access control in vehicular networks.
The proceedings contain 16 papers. The topics discussed include: construction of multi modal information knowledge graph for e-commerce products based on pre-trained model;research hotspot and frontier analysis of veh...
ISBN:
(纸本)9798400710445
The proceedings contain 16 papers. The topics discussed include: construction of multi modal information knowledge graph for e-commerce products based on pre-trained model;research hotspot and frontier analysis of vehicle routing optimization based on knowledge graph;gas scheduling optimization algorithm integrating knowledge and dynamic programming;the main characteristics and policy implications of quantum research-related scientific and technological programs in the United States and Europe;adaptive-based multispectral pedestrian detection;comparison between different programs of data compression;and the impact of media attention on corporate asset efficiency: an analysis based on panel data and machinelearning models.
Crime prediction has been challenging, partly due to the difficulty in selecting predictive variables. Previous studies theoretically and empirically confirmed the relationship between many variables and crime. This s...
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Currently, the research prospect of deep learning applied to data prefetching in multi-core architectures are very broad. In order to give full play to the performance of parallel computing in multi-core processor sys...
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This study presents a battery health assessment system for distribution automation terminals based on big data and machinelearning. By coordinating data collection, processing, health analysis, and evaluation modules...
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Electric power computing resources are distributed in the respective regions of provincial data centers and transmission and transformation equipment, and the scheduling efficiency of computing resources is limited by...
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